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HASK | COLLOCATION DATABASES
Citation Please cite this paper in publications using HASK for the BNC: Pezik, Piotr. Graph-Based Analysis of Collocational Profiles. In Phraseologie Im Wörterbuch Und Korpus (Phraseology in Dictionaries and Corpora), edited by Vida Jesenšek and Peter Grzybek, 227–43. ZORA 97. Maribor, Bielsko‑Biała, Budapest, Kansas, Praha: Filozofska fakuteta, 2014.
150,045entries containing2,875,407combinations...
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Part of speech:
Collocate's part of speech:
excelSpreadsheet
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TTEST
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. bit bit Verb 6 2.41 11.26 398.01 0.43 4 29,613,968 1.84
2. drill drill Verb 5 2.21 10.98 394.72 0.56 5 17,771,004 3.06
3. use use
used
using 		Verb 19 2.02 9.39 7.65 0.58 10 8,451,034 6.43
4. 's 's Verb 7 1.4 6.7 4.18 0.49 5 22,302,475 2.44
5. make made
make
makes
making 		Verb 21 0.73 9.03 0.64 0.53 10 8,875,751 6.12
6. hold held
hold
holding 		Verb 5 0.49 5 0.31 0.56 5 27,354,611 1.99
7. keep keep
kept 		Verb 5 0.4 4.93 0.2 0.48 4 16,555,936 3.28
8. need need
needed
needs 		Verb 6 0.24 5.32 0.06 0.48 4 17,927,243 3.03
9. should should Verb 8 -0.42 5.8 0.16 0.34 4 19,189,831 2.83
10. could could Verb 10 -1.11 6.21 0.92 0.28 4 17,367,899 3.13
11. can can Verb 15 -1.83 7.26 2.33 0.58 9 10,104,326 5.38
12. know knew
know 		Verb 9 -2.01 5.6 2.45 0.64 8 13,386,685 4.06
13. may may Verb 5 -2.02 3.72 2.16 0.48 4 23,092,362 2.35
14. take take
takes
Taking
took 		Verb 7 -2.89 4.55 4.04 0.58 6 9,838,229 5.53
15. get get
got 		Verb 8 -3.52 4.83 5.62 0.44 4 51,331,256 1.06
16. will will Verb 10 -3.76 5.51 6.59 0.64 8 8,663,569 6.27
17. would would Verb 9 -5.22 4.89 10.17 0.38 4 22,481,136 2.42
18. do did
do
doing 		Verb 10 -11.06 4.47 28.44 0.58 7 11,063,010 4.91
19. have had
has
have
having 		Verb 30 -14.11 7.98 62.1 0.76 22 3,925,423 13.85
20. be 's
are
be
been
is
was
were 		Verb 126 -19.63 12.5 210 0.72 39 2,125,090 25.58
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